GB/T 38242-2019 in English
VALIDSpecification of the ground verification test for the topographic measurement capability of the lunar and planet close-range photogrammetry camera
- Issued on:2019-10-18
- Implemented on:2020-05-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$97.00
| Standard No: | GB/T 38242-2019 |
| Document status: | VALID |
| Title in English: | Specification of the ground verification test for the topographic measurement capability of the lunar and planet close-range photogrammetry camera |
| Title in Chinese: | 月球与行星近景摄影测量相机地形测量能力地面验证试验规范 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2019-10-18 |
| Implemented on: | 2020-05-01 |
| ICS Classification: | 07.040-Astronomy. Geodesy. Geography |
| Chinese Classification: | A46-Astronomy |
| Professional Classification: | GB-National Standard |
| Related Keywords: | close-range photogrammetry camera
planet close-range photogrammetry camera introduction ground verification test specification ≤0.3 pixels camera distortion parameter error analysis evaluate ground verification test |
| Related Topics: | ground test level
Steradian measurement Steradian measurement Earth flux Organic Proficiency Testing Steradian measurement test spherical GBT38242 Topography GJB67.1 ground test GJB67.9A ground test Ground stress testing related |
《GB/T 38242-2019月球与行星近景摄影测量相机地形测量能力地面验证试验规范》由TC312（全国空间科学及其应用标准化技术委员会）归口，主管部门为中国科学院。
Introduction
1. Background and significance of standard formulation
GB/T 38242-2019 "Ground Verification Test Specification for Topographic Measurement Capability of Lunar and Planetary Close-Range Photogrammetry Cameras" is a key technical standard for close-range photogrammetry systems in deep space exploration missions. The standard was proposed by the Chinese Academy of Sciences and aims to provide scientific test verification methods and technical requirements for close-range photogrammetry cameras in lunar and planetary exploration missions.
2. Comparative Analysis of Standard Frameworks
| Dimensions | Test Content | Technical Requirements | Evaluation Index |
|---|---|---|---|
| Internal Orientation Element Error Analysis | Evaluate the measurement accuracy of the camera image principal point coordinates $(x_{0},y_{0})$ and the principal distance value $f_{k}$ | The error should be less than 0.3 pixels | Deviation index: ≤0.3 pixels |
| Camera Distortion Parameter Error Analysis | Evaluate the distortion correction accuracy | The error should be less than 0.3 pixels | Distortion index: ≤0.3 pixel |
| Relative orientation element error analysis | Evaluate the camera optical axis pointing deviation | The error should be less than 0.3 pixel | Deviation index: ≤0.3 pixel |
3. Professional terminology explanation and practical application cases
Internal orientation elements: Refers to the basic parameters that determine the geometric relationship of the photographic beam in the image plane, including the image plane coordinates of the principal point $(x_{0},y_{0})$ and the camera principal distance value $f_{k}$.
Practical application: In a laboratory environment, the camera internal orientation elements are measured through a calibration plate to ensure that their error is less than 0.3 pixels. For example, when conducting ground verification of the close-range photogrammetry camera carried by the Mars rover, a high-precision coordinate measuring instrument is required to complete the measurement of the internal orientation elements.
Exterior orientation elements: Refers to the basic parameters that determine the geometric relationship of the photographic beam in the object space, including three position parameters and three attitude parameters.
Practical application: In field tests, the errors of the camera's exterior orientation elements are measured through control points and check points. For example, in a simulated lunar surface environment, it is necessary to ensure that the optical axis pointing deviation caused by the exterior orientation element error is less than 0.5 pixels to ensure the accuracy of terrain reconstruction.
4. Implementation suggestions
- Test site selection: The visibility range of the field test environment should be no less than $300~\mathrm{m}$, and it should be similar to the surface environment of the detection target to reduce the impact of environmental differences.
- Data processing flow: After acquiring image data in a laboratory or field environment, the coordinates of control points and checkpoints need to be calculated through photogrammetry, and multiple sets of stereo image pairs are used to reconstruct the terrain data of the test area to generate DEM and DOM.
- Error analysis method: Statistically analyze the deviation between the calculated and measured values of the coordinates of control points and checkpoints, and calculate the maximum, minimum, average and standard deviation information.
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